Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks

Cell Systems

Volumn 7, Issue 2, 2018, Pages 185-191.e4

  Cho, Hyunghoon ^a   Berger, Bonnie ^a,b   Peng, Jian ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

data visualization; neural network; single cell RNA sequencing

Indexed keywords

ANIMAL CELL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BOOTSTRAPPING; CELL POPULATION; EMBEDDING; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENOMICS; INFORMATION PROCESSING; LEARNING ALGORITHM; MOUSE; NONHUMAN; PRIORITY JOURNAL; RNA SEQUENCE; SINGLE CELL ANALYSIS; ALGORITHM; CLUSTER ANALYSIS; COMPUTER GRAPHICS; HUMAN; MARKOV CHAIN; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTER GRAPHICS; GENOMICS; HUMANS; NEURAL NETWORKS (COMPUTER); SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE; STOCHASTIC PROCESSES;

EID: 85048928895     PISSN: 24054712     EISSN: 24054720     Source Type: Journal    
DOI: 10.1016/j.cels.2018.05.017     Document Type: Article

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